General internal medicine physicians
SOC Code: 29-1216
General internal medicine physicians carries a 19% AI exposure score (Low automation risk), with a median annual wage of $236,350 and +3.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 73,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 19% AI exposure, General internal medicine physicians sits 18 points below the 37.2% average across 832 U.S. occupations - more exposed than 5% of them. It ranks among the more AI-resilient roles in the dataset.
Career outlook score
84/100
General internal medicine physicians, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage A+ $236,350
Annual median wage, percentile rank vs all tracked occupations
- Projected growth C +3.3%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) A+ 19% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with General internal medicine physicians in the Low band.
Credential × growth standing
Graduate credential among the thinner entry shelves
General internal medicine physicians is in the Graduate band (113 of 832) with BLS pace Average (378/832). Graduate entry is a minority shelf - pairing it with average growth is the standing that separates this SOC from bachelor-dominated neighbors.
Where General internal medicine physicians sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where General internal medicine physicians sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
19% Among the lowest lower than 95% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
General internal medicine physicians vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. General internal medicine physicians is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
General internal medicine physicians's Low automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 29-1216) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets General internal medicine physicians be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes General internal medicine physicians. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Analyze records, reports, test results, or examination information to diagnose medical condition of patient.
- 2. Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
- 3. Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
- 4. Manage and treat common health problems, such as infections, influenza or pneumonia, as well as serious, chronic, and complex illnesses, in adolescents, adults, and the elderly.
- 5. Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital.
- 6. Explain procedures and discuss test results or prescribed treatments with patients.
- 7. Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
- 8. Make diagnoses when different illnesses occur together or in situations where the diagnosis may be obscure.
- 9. Refer patient to medical specialist or other practitioner when necessary.
- 10. Monitor patients' conditions and progress and reevaluate treatments as necessary.
Key Skills Required
- Reading Comprehension
- Active Listening
- Writing
- Speaking
- Science
- Critical Thinking
- Social Perceptiveness
- Complex Problem Solving
- Judgment and Decision Making
- Active Learning
Knowledge Areas
- Medicine and Dentistry
- Biology
- Therapy and Counseling
- Psychology
- Education and Training
- English Language
- Administration and Management
- Customer and Personal Service
- Computers and Electronics
- Mathematics
Frequently Asked Questions
Will AI replace General internal medicine physicians?
General internal medicine physicians has an AI exposure score of 19%, indicating a low level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for General internal medicine physicians?
According to BLS Employment Projections 2024-2034, General internal medicine physicians is projected to grow by 3.3% over the decade. Current employment stands at approximately 73,200 workers.
What skills are needed for General internal medicine physicians?
Key skills for General internal medicine physicians include Reading Comprehension, Active Listening, Writing, and others. Typical entry-level education is Doctoral or professional degree.
How much do General internal medicine physicians earn?
The median annual wage for General internal medicine physicians is $236,350, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for General internal medicine physicians?
The typical entry-level education for General internal medicine physicians is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves Internship/residency. Requirements can vary by employer and specialization.
Which companies employ General internal medicine physicians?
General internal medicine physicians roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Low automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for General internal medicine physicians: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (19% here).
- Clergy · AI exposure 19%
- Farmworkers, farm, ranch, and aquacultural animals · AI exposure 19%
- Orthopedic surgeons, except pediatric · AI exposure 19%
- Animal caretakers · AI exposure 19%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+3.3% here).
- Audio and video technicians · growth +3.3%
- Chemical equipment operators and tenders · growth +3.3%
- Credit counselors · growth +3.3%
- Glaziers · growth +3.3%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 7 occupations with a comparable automation-risk profile.
What to do with this
Use General internal medicine physicians' numbers above to compare, not just read in isolation.
- Compare General internal medicine physicians side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).